Memristor crossbar deep network implementation based on a Convolutional neural network

@article{Yakopcic2016MemristorCD,
  title={Memristor crossbar deep network implementation based on a Convolutional neural network},
  author={Chris Yakopcic and Md. Zahangir Alom and Tarek M. Taha},
  journal={2016 International Joint Conference on Neural Networks (IJCNN)},
  year={2016},
  pages={963-970}
}
This paper presents a simulated memristor crossbar implementation of a deep Convolutional Neural Network (CNN). In the past few years deep neural networks implemented on GPU clusters have become the state of the art in image classification. They provide excellent classification ability at the cost of a more complex data manipulation process. However once these systems are trained, we show that the analog crossbar circuits in this paper can highly parallelize the recognition phase of a CNN… CONTINUE READING

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